class_docstr: ARS Builder.
code: def make_learner(
      self,
      random_key: networks_lib.PRNGKey,
      networks: networks_lib.FeedForwardNetwork,
      dataset: Iterator[reverb.ReplaySample],
      logger_fn: loggers.LoggerFactory,
      environment_spec: specs.EnvironmentSpec,
      replay_client: Optional[reverb.Client] = None,
      counter: Optional[counting.Counter] = None,
  ) -> core.Learner:
      del environment_spec, replay_client
      return learning.ARSLearner(
          self._spec,
          networks,
          random_key,
          self._config,
          dataset,
          counter,
          logger_fn("learner"),
      )
  
imports: from typing import Dict, Iterator, List, Optional, Tuple
  import acme
  from acme import adders
  from acme import core
  from acme import specs
  from acme.adders import reverb
  from acme.agents.jax import actor_core
  from acme.agents.jax import actors
  from acme.agents.jax import builders
  from acme.agents.jax.ars import config
  from acme.agents.jax.ars import learning
  from acme.jax import networks
  from acme.jax import running_statistics
  from acme.jax import utils
  from acme.jax import variable_utils
  from acme.utils import counting
  from acme.utils import loggers
  import jax
  import jax.numpy
  import numpy
  import reverb
label_desc: Use image node_id 2 for calling the ARSBuilder obj's underlying member method code with example usage: obj.make_learner(random_key, networks, dataset, logger_fn, environment_spec, replay_client, counter) and returns: learning